Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers

TL;DR

We introduce an output layer for neural networks that ensures satisfaction of convex constraints. Our approach, $\Pi$net, leverages operator splitting for rapid and reliable projections in the forward pass, and the implicit function theorem for backpropagation.

Opening excerpt from the authors’ abstract. source